Sentence examples for distribution of crash from inspiring English sources

Open image in new window Fig. 2 Segmentation of facility types Open image in new window Fig. 3 Distribution of crash rate to radius.

This distribution of crash severity indicates around 33.43 % of vehicle crashes at HRGC sites lead to fatality or injury, in which the figures are much higher as compared to those of multi-vehicle crashes in highway traffic.

The proportional distribution of crash types was the same for both sexes during the first period as novice drivers, but the circumstances surrounding the accidents varied (e.g., males were involved in more night crashes).

Moreover, because the data described in this study refer to the date and place of death (and not of the accident), it was impossible to explore the exact seasonal distribution of crashes.

Traffic crashes can be spatially correlated events and the analysis of the distribution of traffic crash frequency requires evaluation of parameters that reflect spatial properties and correlation.

One of the most critical parts of this modeling approach is the assumption of a probability distribution for crash count and the functional specification of the model parameters.

Under such empirical analysis, the zero-adjusted inverse Gaussian distribution is appropriate to reflect the distributional characteristics of crash rates and provide a new direction of approaches in the field of crash data analyses.

A low χ2 and a high p-value indicate that the distribution of the expected crash frequencies is not significantly different from the distribution of the observed crash frequencies, meaning that the model fits well.

Five years of historical crash data, which were aggregated by different times of day, were used for geostatistically inferring the spatial distribution of the expected crash frequency using the two methods.

As shown, the distribution of vehicle-rail crash severity is 6.80 %, 26.63 %, and 66.58 % for fatal, injury, and no injury, respectively.

The distribution of motor vehicle crashes over regions mimicked that of the number of inhabitants, with the highest percentage of crashes occurring in the most populated regions (Table 2).